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# Mid Software Engineer - Data Streaming & IoT

- **Company:** Urbiotica
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Amazon Web Services, Apache HTTP Server, Big Data, Cloud Computing, Code Review, Data Governance, Data Infrastructure, Data Security, Database Queries, Distributed Systems, Python (Programming Language), Software Architecture, RabbitMQ, Redis, Wireless Sensor Networks, Software Engineering, Data Streaming, Data Processing, Real Time Systems, Apache Spark, Caching, Backend, Event Driven Architecture, Containerization, Data Lakes, Kubernetes, Low Latency, Apache Flink, Real Time Data, Stream Processing, Docker
- **Published:** September 8, 2026
- **Apply:** https://eurojobs.com/jobs/26636350/apply

## About the Role

data streaming concepts
and experience working with
large-scale data volumes . Good understanding of
IoT technologies
and the challenges of processing data from distributed sensor networks. Hands-on experience with
Apache Flink
for stream processing. Experience with
Apache Iceberg
as a table format for large analytical datasets. Strong proficiency in
Python . Experience with
Trino
for distributed SQL querying. Familiarity with
Apache Polaris
(or similar catalog/governance tools). Experience with
RabbitMQ
for messaging and event-driven systems. Experience with
Redis
for caching and low-latency data access. 3+ years of experience in software engineering, ideally in data-intensive or streaming environments. Nice to Have
Knowledge of
Apache Spark . Experience with cloud platforms as AWS Familiarity with containerization and orchestration tools (Docker, Kubernetes). Experience working in smart city, IoT, or sensor-data-driven environments. Why Join Urbiotica
Work on cutting-edge streaming infrastructure powering real-world smart city solutions. Collaborative, technically strong engineering team. Opportunity to work with modern, best-in-class data streaming technologies. Ability to learn and grow up as a software engineer Indefinite contract 50% remote time (offices are in Barcelona and there is the possibility to go when you want at the office)

## Description

to join our engineering team and help us build and scale the systems that process large volumes of real-time data from our IoT sensor network deployed across smart cities. You'll work on the streaming pipelines and data infrastructure that power our urban intelligence platform, turning massive streams of sensor data into actionable insights. If you're passionate about distributed systems, real-time data processing, and building reliable infrastructure at scale, we'd love to hear from you. What You'll Do
Design, build, and maintain
real-time data streaming pipelines
capable of handling large volumes of data from thousands of IoT devices. Develop and optimize stream processing jobs using
Apache Flink . Work with
Apache Iceberg
to manage large-scale, reliable, and queryable data lakes. Write efficient, maintainable code in
Python
for data processing, integration and automation tasks. Use
Trino
to enable fast, federated analytical queries across our data platform. Manage data governance and table catalogs with
Apache Polaris . Design and maintain messaging and event-driven architectures using
RabbitMQ . Work with
Redis
for caching, fast data access and supporting real-time processing use cases. Collaborate closely with data engineers, backend developers, and IoT hardware teams to ensure end-to-end data quality and reliability. Contribute to architectural decisions, code reviews, and continuous improvement of our streaming platform. What We're Looking For


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